Self-Confidence in Autonomous Systems: Papers from the AAAI Fall Symposium
Nisar Ahmed, Mary Cummings, Christopher Mille, Organizers
November 12–14, 2015, Arlington, Virginia
Technical Report FS-15-05
Softcover version of the technical report: $25.00 softcover
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Modern civilian and military systems have created a demand for sophisticated intelligent machine autonomy with human supervision and coordination in uncertain dynamic environments. These on-the-loop human roles in autonomy shifted emphasis away from the traditional human in-the-loop capabilities, and raise questions about when/how mutual communication of operational intent and the perceived capabilities of autonomous agents can impact human-autonomy coordination. This symposium will explore the possibilities for augmenting human-machine dialog through communication of an autonomous agent's "sense of confidence," that is, the agent's perceived ability to effectively execute assigned tasks. Such reporting goes above and beyond mere assessment of probabilities for modeled outcomes or successful task completion. Rather, "self-confidence" summarizes an agent's holistic assessment of robustness regarding its ability to achieve assigned goals (within a defined region of autonomous behavior) in spite of uncertainties in its knowledge of the world, uncertainties of its own state/self, and uncertainties about its reasoning processes and execution capabilities.